Automatic identification of a tool

• US 9,968,256 B2
• Filed: 12/30/2013
• Issued: 05/15/2018
• Est. Priority Date: 03/08/2007
• Status: Active Grant

• Current Assignee: Sync-Rx, Ltd. (Koninklijke Philips N.V.)
• Original Assignee: Sync-Rx, Ltd. (Koninklijke Philips N.V.)
• Inventors: Tolkowsky, David, Iddan, Gavriel, Cohen, Ran
• Primary Examiner(s): Tucker, Wesley J
• Application Number:
  US14/143,184
• Publication Number:
  US 20140111541A1
• Time in Patent Office: 1,597 Days
• CPC Class Codes: A61B 17/12036 partial occlusion
• CPC Class Codes: A61B 17/1204 temporary occlusion
• CPC Class Codes: A61B 17/12136 Balloons
• CPC Class Codes: A61B 18/02 by cooling, e.g. cryogenic techniques devices for cooling specific reflex points of the body within cell-life limits A61H39/06
• CPC Class Codes: A61B 18/1492 having a flexible, catheter-like structure, e.g. for heart ablation A61B18/1477 takes precedence
• CPC Class Codes: A61B 18/24 with a catheter A61B18/26, A61B18/28 take precedence
• CPC Class Codes: A61B 2017/00252 for by-pass connections, i.e. connections from heart chamber to blood vessel or from blood vessel to blood vessel
• CPC Class Codes: A61B 2017/00694 with means correcting for movement of or for synchronisation with the body
• CPC Class Codes: A61B 2017/00703 correcting for movement of heart, e.g. ECG-triggered
• CPC Class Codes: A61B 2017/1205 Introduction devices
• CPC Class Codes: A61B 2017/22044 with a pointed tip
• CPC Class Codes: A61B 2017/22094 for crossing total occlusions, i.e. piercing
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2034/107 Visualisation of planned trajectories or target regions
• CPC Class Codes: A61B 2034/254 being adapted depending on the stage of the surgical procedure
• CPC Class Codes: A61B 2090/365 augmented reality, i.e. correlating a live optical image with another image
• CPC Class Codes: A61B 2090/3735 Optical coherence tomography [OCT]
• CPC Class Codes: A61B 2090/374 NMR or MRI
• CPC Class Codes: A61B 2090/3762 using computed tomography systems [CT]
• CPC Class Codes: A61B 2090/3782 transmitter or receiver in catheter or minimal invasive instrument
• CPC Class Codes: A61B 2576/00 : Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 34/10 : Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 34/20 : Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
• CPC Class Codes: A61B 34/25 : User interfaces for surgical systems
• CPC Class Codes: A61B 5/0044 : for the heart
• CPC Class Codes: A61B 5/02007 : Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/7285 : for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61B 5/7289 : Retrospective gating, i.e. associating measured signals or images with a physiological event after the actual measurement or image acquisition, e.g. by simultaneously recording an additional physiological signal during the measurement or image acquisition
• CPC Class Codes: A61B 6/12 : Arrangements for detecting or locating foreign bodies
• CPC Class Codes: A61B 6/469 : for selecting a region of interest [ROI]
• CPC Class Codes: A61B 6/481 : involving the use of contrast agents
• CPC Class Codes: A61B 6/501 : for diagnosis of the head, e.g. neuroimaging or craniography
• CPC Class Codes: A61B 6/503 : for diagnosis of the heart
• CPC Class Codes: A61B 6/504 : for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/5217 : extracting a diagnostic or physiological parameter from medical diagnostic data
• CPC Class Codes: A61B 6/5247 : combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
• CPC Class Codes: A61B 6/541 : involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 8/0883 : for diagnosis of the heart
• CPC Class Codes: A61B 8/0891 : for diagnosis of blood vessels
• CPC Class Codes: A61B 8/543 : involving acquisition triggered by a physiological signal
• CPC Class Codes: A61F 2/06 : Blood vessels
• CPC Class Codes: A61F 2/958 : Inflatable balloons for placing stents or stent-grafts
• CPC Class Codes: A61M 25/09 : Guide wires
• CPC Class Codes: G06T 11/60 : Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2207/10016 : Video; Image sequence
• CPC Class Codes: G06T 2207/10121 : Fluoroscopy
• CPC Class Codes: G06T 2207/30048 : Heart; Cardiac
• CPC Class Codes: G06T 2207/30101 : Blood vessel; Artery; Vein; Vascular
• CPC Class Codes: G06T 2207/30172 : Centreline of tubular or elongated structure
• CPC Class Codes: G06T 5/00 : Image enhancement or restoration
• CPC Class Codes: G06T 5/73 : Deblurring; Sharpening
• CPC Class Codes: G06T 7/0012 : Biomedical image inspection
• CPC Class Codes: G06T 7/0014 : using an image reference approach
• CPC Class Codes: G06T 7/12 : Edge-based segmentation
• CPC Class Codes: G06T 7/13 : Edge detection
• CPC Class Codes: G06T 7/246 : using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06T 7/62 : of area, perimeter, diameter or volume
• CPC Class Codes: G06V 2201/034 : of medical instruments
• CPC Class Codes: G06V 40/103 : Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment

Abstract

Apparatus and methods are described for use with a portion of a body of a subject including acquiring a plurality of images of the portion, and displaying one of the images. In response to receiving an input that is indicative of a given location within the image, an indication of a region within the portion is generated on the image. In response to receiving a further input, a dimension of the region that is indicated within the image is modified. In response thereto, at least one tool that is suitable for being placed at the region is identified, and/or a dimension of at least one tool that is suitable for being placed at the region is identified. An output is generated is response to the identification. Other applications are also described.

Claims

1. A method for use with a portion of a body of a subject that contains a lumen, the method comprising:

acquiring at least one extraluminal image of the portion of the subject'"'"'s body, the extraluminal image including a longitudinal portion of the lumen;

displaying, on a display, the acquired, extraluminal image; and

using at least one processor;

in response to receiving a single input from a user designating a single point within the extraluminal image of the portion of the subject'"'"'s body, identifying a region within the lumen that corresponds to a lesion, by identifying edge lines of the lumen and longitudinal extremities of the lesion, within the extraluminal image, in a vicinity of the single point;

in response thereto, automatically, performing an identification selected from the group consisting of;

identification of at least one tool that is suitable for being placed at the region, and identification of a dimension of at least one tool that is suitable for being placed at the region; and

generating an output in response to the identification.

2. The method according to claim 1, wherein the lumen includes a blood vessel of the subject, and wherein identifying the region within the lumen comprises identifying a region within the blood vessel that corresponds to a lesion within the blood vessel.

3. The method according to claim 1, further comprising generating an indication on the image of the region within the lumen by highlighting the region on the image.

4. The method according to claim 1, further comprising generating an indication on the image of the region within lumen by generating an image of a virtual tool upon the region on the image.

5. The method according to claim 1, wherein performing the identification comprises identifying the at least one tool that is suitable for being placed at the region.

6. The method according to claim 5, wherein identifying the at least one tool that is suitable for being placed at the region comprises identifying a combination of a plurality of tools that are suitable for placing at the region.

7. The method according to claim 5, wherein identifying the at least one tool that is suitable for being placed at the region comprises accounting for a second tool that is currently disposed within the lumen.

8. The method according to claim 5, wherein identifying the at least one tool that is suitable for being placed at the region comprises determining a curvature of the region within the lumen, and accounting for the determined curvature.

9. The method according to claim 5, wherein identifying the at least one tool that is suitable for being placed at the region comprises determining an orientation of the region within the lumen within the at least one displayed image, and accounting for the determined orientation of the region within the lumen within the displayed image.

10. The method according to claim 1, wherein performing the identification comprises identifying the dimension of the at least one tool that is suitable for being placed at the region.

11. The method according to claim 10, wherein identifying the dimension of the at least one tool that is suitable for being placed at the region comprises identifying dimensions of a plurality of tools that, in combination with each other, are suitable for placing at the region.

12. The method according to claim 10, wherein identifying the dimension of the at least one tool that is suitable for being placed at the region comprises accounting for a second tool that is currently disposed within the lumen in determining the dimension of the tool.

13. The method according to claim 10, wherein identifying the dimension of the at least one tool that is suitable for being placed at the region comprises determining a curvature of the region within the lumen, and accounting for the determined curvature.

14. The method according to claim 10, wherein identifying the dimension of the at least one tool that is suitable for being placed at the region comprises determining an orientation of the region within the lumen within the at least one displayed image, and accounting for the determined orientation of the region within the lumen within the displayed image.

15. Apparatus for use with a portion of a body of a subject that contains a lumen, the apparatus comprising:

an image-acquisition device configured to acquire at least one extraluminal image of the portion of the subject'"'"'s body, the extraluminal image including a longitudinal portion of the lumen;

a display configured to display the acquired, extraluminal image; and

at least one processor configured;

in response to receiving a single input from a user designating a single point within the extraluminal image of the portion of the subject'"'"'s body, to identify a region within the lumen that corresponds to a lesion, by identifying edge lines of the lumen and longitudinal extremities of the lesion, within the extraluminal image, in a vicinity of the single point,

in response thereto, to automatically perform an identification selected from the group consisting of;

identification of at least one tool that is suitable for being placed at the region, and identification of a dimension of at least one tool that is suitable for being placed at the region; and

to generate an output in response to the identification.